Adoption Model of Falcataria-Based Farm Forestry: A Duration Analysis Approach

Evi Irawan

doi:10.23917/jep.v17i1.1633

Adoption Model of Falcataria-Based Farm Forestry: A Duration Analysis Approach

Evi Irawan^(1*)

(1) Ministry of Environment and Forestry
(*) Corresponding Author

Abstract

Integrating perennial plant, such as Falcataria moluccana, in farming system can provide economic and environmental benefits, especially in marginal areas. Indonesian governments at all levels have been employing a number of efforts to speed-up adoption of tree planting on farm. However, the establishment of farm forestry on private land in Indonesia, especially in Java, is widely varied. While the farm forestry in some locations has been well adopted, the farmers or land users in other location are reluctant to adopt them, although the traits of farmers and farm land in both locations are similar. Most adoption studies have employed cross-sectional data in a static discrete choice modeling framework to analyze why some farmers adopt at a certain point in time. The static approach does not consider the dynamic environment in which the adoption decision is made and thus does not incorporate speed of adoption. The information of adoption speed of an innovation is important in designing extension policies as well as reengineering innovations in order to align with socio-economic conditions of the farmers. Based on data from a survey of a random sample of 117 smallholder households in Wonosobo Regency, Central Java, Indonesia, this study investigated determinants of time to adoption of farm forestry using duration analysis. Results revealed that factors that accelerate the adoption varied include age of household head, level of education of household head, off-farm employment and output price. Older farmers tend to adopt faster than the younger farmers. The other interesting findings are that off-farm employment and membership to farmers group are two most influential factors in speeding-up adoption of Falcataria-based farm forestry. The policy implications of this research are that government should design policies that promote farmers’ participation in off-farm income activities and strengthening farmer groups in addition to extension services and timber markets.

Keywords

Adoption, duration analysis, farm forestry, Falcataria moluccana, Cox proportional hazard model

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References

Abdulai, A., & Huffman, W. E. (2005). The diffusion of new agricultural technologies: the case of crossbred-cow technology in Tanzania. American Journal of Agricultural Economics, 87(3), 645-659.

Alcon, F., de Miguel, M. D., & Burton, M. (2011). Duration analysis of adoption of drip irrigation technology in southeastern Spain. Technological Forecasting and Social Change, 78, 991-1001.

Balai Pemantapan Kawasan Hutan Wilayah XI Jawa Madura, & Multistakeholder Forestry Programme. (2009). Strategi pengembangan, pengelolaan dan arahan kebijakan: Hutan rakyat di pulau Jawa: Departemen Kehutanan.

Becker, G. (1964). Human Capital. Chicago, IL: University of Chicago Press.

Becker, G. S. (1985). Human capital, effort, and the sexual division of labor. Journal of Labor Economics, 3(1), S33 -S58.

Boulay, A., Tacconi, L., & Kanowski, P. (2012). Drivers of adoption of eucalypt tree farming by smallholders in Thailand. Agroforestry System, 84, 179-189.

Box-Steffensmeier, J. M., & Jones, B. S. (2004). Event History Modelling: A Guide for Social Scientists (1st ed.). Cambridge, UK: Cmabridge University Press.

Burton, M., Rigby, D., & Young, T. (2003). Modelling the adoption of organic horticultural technology in the UK using Duration Analysis. The Australian Journal of Agricultural and Resource Economics, 47(1), 29-54.

Dadi, L., Burton, M., & Ozanne, A. (2004). Duration analysis of technology adoption in Ethiopian agriculture. Journal of Agricultural Economics, 55(3), 613-631. doi: 10.1111/j.1477-9552.2004.tb00117.x

Feder, G., Just, R. E., & Zilberman, D. (1985). Adoption of agricultural innovations in developing countries: A survey. Economic development and cultural change, 255-298.

Feder, G., & Umali, D. L. (1993). The adoption of agricultural innovations: a review. Technological Forecasting and Social Change, 43(3), 215-239.

Greene, W. H. (2002). Econometric analysis (5 ed.). Upper Saddle River, NJ: Prentice Hall.

Gyau, A., Chiatoh, M., Franzel, S., Asaah, E., & Donovan, J. (2012). Determinants of farmers' tree planting behaviour in the north west region of Cameroon: the case of Prunus africana. International Forestry Review, 14(3), 265-274.

Hayami, Y. (1981). Induced innovation, green revolution, and income distribution: comment. Economic development and cultural change, 169-176.

Irawan, E. (2011). Nilai Ekonomi Hutan Rakyat untuk Penyerapan Emisi Karbon. Jurnal Penelitian Sosial dan Ekonomi Kehutanan, 8(1), 54-70.

Irawan, E. (2012). The effect of labor organization on integrated pest management (IPM) adoption: Empirical study of Durian and Tangerine Production in Thailand. Aachen, Germany: Shaker Verlag.

Kakuru, O., Doreen, M., & Wilson, M. (2014). Adoption of On-Farm Tree Planting in Kibaale District, Western Uganda. Journal of Sustainable Forestry, 33(1), 87-98.

Maddala, G. S. (1993). Limited-dependent and Qualitative Variables in Econometrics. Cambridge, UK: Cambridge University Press.

Madlener, R., & Schmid, C. (2003). Adoption and diffusion of decentralised energy conversion technologies: the success of engine co-generation in Germany. Energy and Environment, 14(5), 627-662.

Mangundikoro, A. (1986). Watershed Management in Indonesia with Special Reference to Institution Strengthening and its Framework Improvement. In K. N. Brooks (Ed.), Strategies, approaches and systems in integrated watershed management (FAO Conservation Guide 14) (pp. 237). Rome, Italy: Food and Agriculture Organization.

Matuschke, I., & Qaim, M. (2008). Seed market privatisation and farmers' access to crop technologies: The case of hybrid pearl millet adoption in India. Journal of Agricultural Economics, 59(3), 498-515.

Mercer, D. E. (2004). Adoption of agroforestry innovations in the tropics: A review. Agroforestry System, 11, 311-328.

Nawir, A. A., Murniati, & Rumboko, L. (2007). Forest rehabilitation in Indonesia: Where to after three decades? Bogor: Center for International Forestry Research.

Pattayanak, S. K., Mercer, D. E., Sills, E., & Yang, J.-C. (2003). Taking stock of agroforestry adoption studies. Agroforestry System, 57, 173-186.

Rogers, E. M. (2010). Diffusion of innovations: Simon and Schuster.

Sabastian, G., Kanowski, P., Race, D., Williams, E., & Roshetko, J. M. (2014). Household and farm attributes affecting adoption of smallholder timber management practices by tree growers in Gunungkidul region, Indonesia. Agroforestry systems, 88(2), 257-268.

van Der Poel, P., & van Dijk, H. (1986). Household economy and tree growing in upland Central Java. Agroforestry System, 5, 169-184.

Yumamoto, Y., & Takeuchi, K. (2012). Estimating the break-even price for forest protection in Central Kalimantan. Environmental Economics and Policy Studies, 14, 289-301.

DOI: 10.23917/jep.v17i1.1633